MedleyDB
Introduced by Rachel M. Bittner et al. in MedleyDB: A Multitrack Dataset for Annotation-Intensive MIR Research
MedleyDB, is a dataset of annotated, royalty-free multitrack recordings. It was curated primarily to support research on melody extraction. For each song melody f₀ annotations are provided as well as instrument activations for evaluating automatic instrument recognition. The original dataset consists of 122 multitrack songs out of which 108 include melody annotations.
The songs in MedleyDB were obtained from the following sources:
- Independent Artists (30 songs)
- NYU's Dolan Recording Studio (32 songs)
- Weathervane Music (25 songs)
- Music Delta (35 songs)
MedleyDB contains songs of a variety of musical genres: Singer/Songwriter, Classical, Rock, World/Folk, Fusion, Jazz, Pop, Musical Theatre, Rap. For each song three types of audio content are given: a mix, stems, and raw audio. All types of audio files are .wav files with a sample rate of 44.1 kHz and a bit depth of 16.
Source: https://medleydb.weebly.com/Papers
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